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Description
Anticuerpo monoclonal CD 22
Classification
Material médico. Material de laboratorio
IMSS product code
080.070.1153.00
Presentation
Frasco con 1 ml RTC
Each circle represents one of the 14 purchases of SUSTANCIAS BIOLÓGICAS made by the IMSS between 2008 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Especialidades, "Gral. Div. Manuel Avila Camacho", Centro Médico Nacional, Puebla Umae Especialidades Puebla | Puebla | 8 | 109,871 MXN | 13,742.4 MXN | 13.5 % | 2.47 | 29 de enero de 2018 |
| H. de Pediatría, Centro Médico Nacional Siglo XXI Umae Pediatria C.m.n. Siglo Xxi | Ciudad de México | 3 | 27,369 MXN | 8,054.5 MXN | 46.3 % | 2.29 | 13 de junio de 2013 |
| H. de Especialidades No. 1 Centro Médico Nacional del Bajio, León, Gto. Umae Especialidades Guanajuato | Guanajuato | 2 | 13,044.3 MXN | 974.4 MXN | 8 % | 0.16 | 29 de diciembre de 2013 |
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 1 | 7,714 MXN | 2,464 MXN | 46.9 % | 0.469 | 8 de marzo de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| CORPORACION MEDIGROUP S. DE R.L. DE C.V. | 4 | 12,368.5 MXN | 18.8 % | 2.14 | 2014 - 2018 |
| RAMIREZ ROMERO JESUS ARMANDO | 4 | 3,838 MXN | 19.9 % | 0.801 | 2008 - 2011 |
| ABALAT, S.A. DE C.V. | 2 | 5,560.8 MXN | 45.1 % | 1.8 | 2010 - 2013 |
| CUBILLAS PUNARO MARCO ANTONIO | 2 | 974.4 MXN | 8 % | 0.16 | 2012 - 2013 |
| DESARROLLO Y TECNOLOGIA EMPRESARIAL, S.A. DE C.V. | 1 | 2,493.8 MXN | 48.6 % | 0.486 | 2009 - 2009 |
| QUIMICOS UNIVERSAL VILLAVICENCIO, S. A. DE C. V. | 1 | - MXN | - | - | 2013 - 2013 |
Entity type
Material de laboratorio
Date updated in QQW
3 de octubre de 2022
Source(s)
Part of the project
Organization responsible for the import
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Add this to your code:
library(rjson)
#Read JSON data into R
data <- fromJSON(file="http://localhost:10010/v3/products?limit=1&sort=&embed=true&db_prefix=&id=080.070.1153.00")
Add this to your code:
import json, urllib
#Read JSON data into python
response = urllib2.urlopen('http://localhost:10010/v3/products?limit=1&sort=&embed=true&db_prefix=&id=080.070.1153.00')
data = json.loads(response.read())
Add this to your code:
import pandas as pd
#Read JSON data into pandas
df = pd.read_json('http://localhost:10010/v3/products?limit=1&sort=&embed=true&db_prefix=&id=080.070.1153.00')